Quant AI Specialist

Tanqeeb; Dubai; On-site; AED 400,000 - 640,000; Full time

Job summary

Tanqeeb seeks a Quant AI Specialist to apply quantitative research, machine learning, and AI techniques to trading, risk management, pricing, and market analytics challenges. The role combines expertise in financial markets with modern AI methods to develop predictive models and AI-driven analytics for decision support in electronic trading environments.

The candidate will work with Python and ML frameworks, perform time-series forecasting, and contribute to data-driven decisions through

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• 4–8 years of experience in quantitative analysis.
• Strong understanding of financial markets and risk management.
• Experience in brokerage, FX, CFDs, crypto, or fintech is desirable.
• Excellent analytical and communication skills.

Responsibilities

• Develop quantitative models to analyze market behavior and trading activity.
• Research market microstructure, execution quality, and trading performance.
• Design predictive models for volatility forecasting and regime detection.
• Identify opportunities to improve trading performance with data-driven insights.
• Collaborate with stakeholders to present research findings and model performance.

Skills

Python

Time-series analysis

Predictive analytics

Communication

Data storytelling

Education

Bachelor's or Master's in Quantitative Finance, Mathematics, Statistics, Data Science, CS, Economics

Tools

Scikit-learn

XGBoost

TensorFlow

PyTorch

SQL

LLMs

RAG

Job description

Company Overview

Our client, a global regulated financial services group with a strong presence across international markets, provides online trading and investment solutions across Forex, CFDs, commodities, indices, equities, and digital assets. The organisation is investing heavily in Artificial Intelligence, data transformation, automation, and advanced analytics to strengthen customer experience, operational performance, risk intelligence, and strategic decision-making.

Role Overview

We are seeking a Quant AI Specialist to apply quantitative research, machine learning, and artificial intelligence techniques to solve complex trading, risk management, pricing, and market analytics challenges. The successful candidate will combine expertise in financial markets with modern AI methodologies to develop predictive models, trading intelligence solutions, and advanced analytics that support business decision-making. This role requires a deep understanding of market dynamics, quantitative modeling, and the practical application of AI within electronic trading environments.

Key Responsibilities

Quantitative Research & Market Analytics

• Develop quantitative models to analyze market behavior, liquidity patterns, price movements, and trading activity.
• Conduct research on market microstructure, execution quality, client behavior, and trading performance.
• Design predictive models for volatility forecasting, market regime detection, and trading activity analysis.
• Identify opportunities to improve trading performance through data-driven insights and quantitative techniques.

AI & Machine Learning Applications

• Apply machine learning algorithms to forecasting, anomaly detection, client analytics, and market intelligence use cases.
• Develop AI-driven models for market prediction, liquidity demand forecasting, and behavioral analysis.
• Build statistical and machine learning frameworks to detect unusual trading patterns and operational risks.
• Evaluate and implement Large Language Models (LLMs) and AI technologies for research automation and decision support.

Risk & Performance Analysis

• Develop quantitative frameworks for exposure monitoring, profitability analysis, and risk forecasting.
• Support pricing, execution, and hedging optimization through advanced analytics.
• Produce actionable insights and recommendations based on quantitative research findings.

Stakeholder Engagement

• Collaborate with business and technology stakeholders to identify opportunities for AI-driven innovation.
• Present research findings and model performance to senior management.
• Translate complex quantitative concepts into practical business recommendations.

Technical Requirements

• Advanced Python programming skills for quantitative analysis and machine learning.
• Experience with machine learning frameworks such as Scikit-learn, XGBoost, Tensor Flow, or PyTorch.
• Strong understanding of statistical modeling, time-series analysis, forecasting, and predictive analytics.
• Experience working with financial market data, trading datasets, or large-scale transactional data.
• Strong SQL and data analysis skills.
• Familiarity with LLMs, Retrieval-Augmented Generation (RAG), and AI-assisted analytics.
• Experience with data visualization and reporting tools.

Qualifications

• Bachelor's or Master's degree in Quantitative Finance, Mathematics, Statistics, Data Science, Computer Science, Economics, or a related field.
• 4–8 years of experience in quantitative analysis, trading analytics, financial data science, or quantitative research.
• Strong understanding of financial markets, trading workflows, market structure, and risk management.
• Experience within brokerage, FX, CFDs, crypto, institutional trading, market-making, or fintech environments is highly desirable.
• Excellent analytical, communication, and problem-solving skills.